[
https://issues.apache.org/jira/browse/SPARK-8007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14639187#comment-14639187
]
Joseph Batchik commented on SPARK-8007:
---------------------------------------
You will be able to solve this issue by doing:
{code:java}
df.groupBy(expr("spark__partition__id()"))
{code}
with SPARK-8668 .
This will make all of these "virtual column" just be function calls so no
changes to the analyzer will be needed.
> Support resolving virtual columns in DataFrames
> -----------------------------------------------
>
> Key: SPARK-8007
> URL: https://issues.apache.org/jira/browse/SPARK-8007
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Joseph Batchik
>
> Create the infrastructure so we can resolve df("SPARK__PARTITION__ID") to
> SparkPartitionID expression.
> A cool use case is to understand physical data skew:
> {code}
> df.groupBy("SPARK__PARTITION__ID").count()
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
